When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Udemy logo

Measurement Uncertainty in CALIBRATION - ISO/IEC 17025

Complete guide for Estimation of Measurement Uncertainty in Calibration Laboratory as per ISO Guide 98-3.

     
  • 4.4
  •  |
  • Reviews ( 22 )
₹6499

This Course Includes

  • iconudemy
  • icon4.4 (22 reviews )
  • icon5h 5m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Measurement Uncertainty in CALIBRATION - ISO/IEC 17025

This course is intended for the practicing

scientists

,

engineers

and

managers

working in

calibration

laboratory or in the field of quality control activities of manufacturing organization, where

calibration laboratory

is a part. Participants will be able to

estimate the uncertainty of measurement

for different groups in the field of calibration. Persons who are

not clearly familiar

with the

basic statistical concepts

of estimation of measurement uncertainty will get

clear understanding

about this, through this training. Those who are

already familiar

with ISO/IEC 17025 laboratory accreditation system and

has done the uncertainty estimations for measurements

for their applications will definitely improve their understanding on the practical aspects of their activities for continual improvement.

What You Will Learn?

  • Clear understanding of Basic Statistical Concepts for measurement uncertainty estimation. .
  • Understanding a calibration activity in terms of mathematical model, to be able to identify the significant control factors for accuracy or validity of results. .
  • Will be able to estimate measurement uncertainty for different groups of calibrations of the laboratory effectively. .
  • Will be able to formulate effective Quality Control Plan for the laboratory utilizing the uncertainty of measurements and also can identify the scope of improvement in quality of result. .
  • Will be able to apply “decision rule” utilizing the uncertainty of measurements, when it is required. Show moreShow less.